Teams at Re:Build Manufacturing

Build and operate backend services for an AI-powered hardware development platform. Design REST APIs, ingestion pipelines, background task systems, and agentic AI workflows that convert unstructured inputs into engineering artifacts. Integrate LLM APIs with streaming, error handling, and cost optimization, deploy services on GCP using Terraform, and establish reliable coding, testing, and review practices. The role requires daily hands-on development and collaboration with AI researchers, product leadership, and engineering teams.

Design and operate secure, scalable cloud infrastructure across GCP, AWS, and third-party providers. Build CI/CD pipelines, infrastructure-as-code, observability, secrets management, network policies, vulnerability scanning, and compliance automation. Support AI/ML infrastructure, model serving, data pipelines, developer tooling, preview environments, and self-service provisioning. Collaborate with backend and frontend engineers on infrastructure integration while contributing code, architecture decisions, incident response, and operational best practices.

Build production React and TypeScript applications for an AI-powered hardware development platform. Develop shared component libraries, design systems, structured engineering-data interfaces, AI agent experiences, dashboards, and real-time project visibility. Write unit and end-to-end tests, integrate APIs and client SDKs, contribute to frontend architecture, conduct code reviews, and help establish engineering best practices while working closely with product and backend teams.